Image Defogging via Grayscale Atmospheric Light Estimation
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Solution Overview
Problem
Existing image defogging processes are ineffective in enhancing smog images due to environmental pollution and low temperatures, which affect the authenticity and viewing effect of outdoor security monitoring systems.
Innovation Solution
A method and apparatus that acquire a foggy image, perform minimum value filtering to obtain a grayscale image, select pixel points in descending order of pixel values, determine an atmospheric light value, and perform image defogging processing using the grayscale image and atmospheric light value to improve image clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing image enhancement algorithms (adaptive histogram equalization, adaptive contrast, tone enhancement) are used for defogging, then the processing can be performed, but the enhancement effect is insufficient and does not improve image quality adequately in smoggy conditions
Solution Approach 1:
The patent transforms the color image to grayscale space and modifies the atmospheric light value parameter to enhance the defogging effect. By changing the parameter α (alpha) in the range [0,1] when combining grayscale and color images, the method adapts to different foggy conditions and achieves better image quality improvement compared to existing algorithms
Solution Approach 2:
The patent introduces grayscale images as an intermediary component in the defogging process. The grayscale image is used to determine atmospheric light values and is combined with the color image through a weighted formula involving parameter α, serving as a mediator to achieve superior enhancement results
2Device complexity
If atmospheric light value is determined from the original color image, then the process is simple, but the determination accuracy is insufficient leading to poor defogging results
Solution Approach 1:
The patent performs preliminary transformation of the color image to grayscale space before determining the atmospheric light value. This preliminary action of converting to grayscale and selecting pixel points based on grayscale values improves the accuracy of atmospheric light value determination, which is then used in the color image defogging process
Data Source
AI summary
A method and an apparatus for processing an image are provided. A method may include: acquiring a to-be-processed foggy image, and performing minimum value filtering on the to-be-processed foggy image to obtain a grayscale image of the to-be-processed foggy image; selecting, in a descending order of pixel values, a target number of pixel points from the grayscale image, and determining an image area corresponding to the selected pixel points from the to-be-processed foggy image; acquiring pixel values of the pixel points included in the image area, and determining an atmospheric light value based on the acquired pixel values; and performing image defogging processing on the to-be-processed foggy image based on the grayscale image and the atmospheric light value to obtain a processed image. The effect of image display and the efficiency of image processing can be improved.